Cargando…
A Framework for the Comparative Assessment of Neuronal Spike Sorting Algorithms towards More Accurate Off-Line and On-Line Microelectrode Arrays Data Analysis
Neuronal spike sorting algorithms are designed to retrieve neuronal network activity on a single-cell level from extracellular multiunit recordings with Microelectrode Arrays (MEAs). In typical analysis of MEA data, one spike sorting algorithm is applied indiscriminately to all electrode signals. Ho...
Autores principales: | Regalia, Giulia, Coelli, Stefania, Biffi, Emilia, Ferrigno, Giancarlo, Pedrocchi, Alessandra |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4863096/ https://www.ncbi.nlm.nih.gov/pubmed/27239191 http://dx.doi.org/10.1155/2016/8416237 |
Ejemplares similares
-
A Low-Noise, Modular, and Versatile Analog Front-End Intended for Processing In Vitro Neuronal Signals Detected by Microelectrode Arrays
por: Regalia, Giulia, et al.
Publicado: (2015) -
The Influence of Neuronal Density and Maturation on Network Activity of Hippocampal Cell Cultures: A Methodological Study
por: Biffi, Emilia, et al.
Publicado: (2013) -
Development and Validation of a Spike Detection and Classification Algorithm Aimed at Implementation on Hardware Devices
por: Biffi, E., et al.
Publicado: (2010) -
HTsort: Enabling Fast and Accurate Spike Sorting on Multi-Electrode Arrays
por: Chen, Keming, et al.
Publicado: (2021) -
High-density microelectrode array recordings and real-time spike sorting for closed-loop experiments: an emerging technology to study neural plasticity
por: Franke, Felix, et al.
Publicado: (2012)